Requires the Secretary of the Navy to (a) develop a strategy for using artificial intelligence to better predict maintenance needs at U.S. Navy shipyards, and (b) evaluate the potential maintenance cost savings of doing so.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal risk domain coverage, focusing primarily on AI system capabilities and implementation rather than risks. The only substantive coverage relates to AI system safety and robustness (7.3) in the context of predictive maintenance reliability. The document does not address discrimination, privacy, misinformation, malicious use, human-computer interaction, socioeconomic impacts, or advanced AI safety concerns.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the National Security sector, specifically the U.S. Navy's shipyard operations and maintenance activities. It also has secondary coverage of Professional and Technical Services through requirements to leverage commercial best practices from civilian shipyards.
Hard Law
Legislative Status Summary
This is a binding statutory provision enacted by the U.S. Congress as part of the National Defense Authorization Act for Fiscal Year 2024, containing mandatory obligations on the Secretary of the Navy with specific deadlines and deliverables.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily addresses the Plan and Design stage by requiring development of an AI strategy for shipyard optimization, and the Operate and Monitor stage through requirements for predictive maintenance assessment and ongoing monitoring of shipboard assets. It also touches on Build and Use Model through references to demonstrating AI technologies and executing models.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning technologies in the context of predictive maintenance for Navy shipyards. It does not reference specific AI model types, frontier AI, general purpose AI, or compute thresholds. The focus is on practical AI applications for maintenance prediction rather than technical AI model specifications.
Document data from AGORA, CSET Emerging Technology Observatory.